Back to Search Start Over

Circulating serum exosomal aHIF is a novel prognostic predictor for epithelial ovarian cancer.

Authors :
Tang, Xiaoyan
Liu, Songping
Liu, Yinglei
Lin, Xiaojing
Zheng, Tingting
Liu, Xin
Qiu, Junjun
Hua, Keqin
Source :
OncoTargets & Therapy. Sep2019, Vol. 12, p7699-7711. 13p.
Publication Year :
2019

Abstract

Purpose: Exosomes are key mediators of cellular communication by transporting molecules, including long noncoding RNAs (lncRNAs), and have been regarded as promising non-invasive biomarkers. This study aimed to evaluate the expression pattern and clinical significance of serum exosomal lncRNA antisense hypoxia inducible factor (aHIF) in epithelial ovarian cancer (EOC). Patients and methods: Sixty-two EOC patients in Obstetrics and Gynecology Hospital of Fudan University were enrolled. The expression levels of aHIF in tissues and serum exosomes were examined by RT-qPCR. The origin of serum exosomal aHIF was explored in vitro and in vivo. Univariate and multivariate Cox regression analyses were used to evaluate the prognostic factors of EOC. A prognostic predictive nomogram was formulated in R software. Results: We isolated exosomes, identified exosomal aHIF in the serum of EOC patients. The expression of serum exosomal aHIF was higher in EOC patients and was correlated with the aHIF level in EOC tissues. In vitro and in vivo, the results indicated that serum exosomal aHIF was derived from tumor cells. Kaplan-Meier survival analysis demonstrated that EOC patients with higher serum exosomal aHIF expression had poorer overall survival. Cox multivariate regression model revealed that FIGO stage, residual tumor size, and serum exosomal aHIF level were independent prognostic factors of EOC. Based on the prognostic value of serum exosomal aHIF, we established a nomogram model that showed a good predictive ability for EOC patients. Conclusion: Serum exosomal aHIF is overexpressed in EOC and can serve as a noninvasive predictive biomarker for unfavorable prognosis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
11786930
Volume :
12
Database :
Academic Search Index
Journal :
OncoTargets & Therapy
Publication Type :
Academic Journal
Accession number :
139127516
Full Text :
https://doi.org/10.2147/OTT.S220533